Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control
Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cay, Rodrigo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Current treatment options in infectious diseases - Philadelphia, Pa. : Current Science, 2014, 6(2014), 1 vom: 17. Jan., Seite 17-39 |
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| Übergeordnetes Werk: |
volume:6 ; year:2014 ; number:1 ; day:17 ; month:01 ; pages:17-39 |
| Links: |
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| DOI / URN: |
10.1007/s40506-013-0006-9 |
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| Katalog-ID: |
SPR036553514 |
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| 520 | |a Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. | ||
| 650 | 4 | |a spp. |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Healthcare associated infections |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Gram-negative bacilli |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Gram-positive cocci |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Fehlberg, Lorena C. C. |4 aut | |
| 700 | 1 | |a Carvalhaes, Cecilia G. |4 aut | |
| 700 | 1 | |a Nicoletti, Adriana G. |4 aut | |
| 700 | 1 | |a Gales, Ana C. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Current treatment options in infectious diseases |d Philadelphia, Pa. : Current Science, 2014 |g 6(2014), 1 vom: 17. Jan., Seite 17-39 |w (DE-627)355400057 |w (DE-600)2090725-4 |x 1534-6250 |7 nnns |
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| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_32 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_74 | ||
| 912 | |a GBV_ILN_90 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_100 | ||
| 912 | |a GBV_ILN_101 | ||
| 912 | |a GBV_ILN_105 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_120 | ||
| 912 | |a GBV_ILN_138 | ||
| 912 | |a GBV_ILN_150 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_171 | ||
| 912 | |a GBV_ILN_187 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_224 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_250 | ||
| 912 | |a GBV_ILN_281 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_636 | ||
| 912 | |a GBV_ILN_702 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2007 | ||
| 912 | |a GBV_ILN_2008 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2010 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2015 | ||
| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_2021 | ||
| 912 | |a GBV_ILN_2025 | ||
| 912 | |a GBV_ILN_2026 | ||
| 912 | |a GBV_ILN_2027 | ||
| 912 | |a GBV_ILN_2031 | ||
| 912 | |a GBV_ILN_2034 | ||
| 912 | |a GBV_ILN_2037 | ||
| 912 | |a GBV_ILN_2038 | ||
| 912 | |a GBV_ILN_2039 | ||
| 912 | |a GBV_ILN_2044 | ||
| 912 | |a GBV_ILN_2048 | ||
| 912 | |a GBV_ILN_2049 | ||
| 912 | |a GBV_ILN_2050 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2057 | ||
| 912 | |a GBV_ILN_2059 | ||
| 912 | |a GBV_ILN_2061 | ||
| 912 | |a GBV_ILN_2064 | ||
| 912 | |a GBV_ILN_2065 | ||
| 912 | |a GBV_ILN_2068 | ||
| 912 | |a GBV_ILN_2070 | ||
| 912 | |a GBV_ILN_2086 | ||
| 912 | |a GBV_ILN_2088 | ||
| 912 | |a GBV_ILN_2093 | ||
| 912 | |a GBV_ILN_2106 | ||
| 912 | |a GBV_ILN_2107 | ||
| 912 | |a GBV_ILN_2108 | ||
| 912 | |a GBV_ILN_2110 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_2112 | ||
| 912 | |a GBV_ILN_2113 | ||
| 912 | |a GBV_ILN_2116 | ||
| 912 | |a GBV_ILN_2118 | ||
| 912 | |a GBV_ILN_2119 | ||
| 912 | |a GBV_ILN_2122 | ||
| 912 | |a GBV_ILN_2129 | ||
| 912 | |a GBV_ILN_2143 | ||
| 912 | |a GBV_ILN_2144 | ||
| 912 | |a GBV_ILN_2147 | ||
| 912 | |a GBV_ILN_2148 | ||
| 912 | |a GBV_ILN_2152 | ||
| 912 | |a GBV_ILN_2153 | ||
| 912 | |a GBV_ILN_2188 | ||
| 912 | |a GBV_ILN_2232 | ||
| 912 | |a GBV_ILN_2336 | ||
| 912 | |a GBV_ILN_2446 | ||
| 912 | |a GBV_ILN_2470 | ||
| 912 | |a GBV_ILN_2472 | ||
| 912 | |a GBV_ILN_2507 | ||
| 912 | |a GBV_ILN_2522 | ||
| 912 | |a GBV_ILN_2548 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4242 | ||
| 912 | |a GBV_ILN_4246 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4251 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4313 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4326 | ||
| 912 | |a GBV_ILN_4333 | ||
| 912 | |a GBV_ILN_4334 | ||
| 912 | |a GBV_ILN_4335 | ||
| 912 | |a GBV_ILN_4336 | ||
| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4393 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 6 |j 2014 |e 1 |b 17 |c 01 |h 17-39 | ||
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10.1007/s40506-013-0006-9 doi (DE-627)SPR036553514 (SPR)s40506-013-0006-9-e DE-627 ger DE-627 rakwb eng Cay, Rodrigo verfasserin aut Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2014 Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 Fehlberg, Lorena C. C. aut Carvalhaes, Cecilia G. aut Nicoletti, Adriana G. aut Gales, Ana C. aut Enthalten in Current treatment options in infectious diseases Philadelphia, Pa. : Current Science, 2014 6(2014), 1 vom: 17. Jan., Seite 17-39 (DE-627)355400057 (DE-600)2090725-4 1534-6250 nnns volume:6 year:2014 number:1 day:17 month:01 pages:17-39 https://dx.doi.org/10.1007/s40506-013-0006-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2014 1 17 01 17-39 |
| spelling |
10.1007/s40506-013-0006-9 doi (DE-627)SPR036553514 (SPR)s40506-013-0006-9-e DE-627 ger DE-627 rakwb eng Cay, Rodrigo verfasserin aut Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2014 Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 Fehlberg, Lorena C. C. aut Carvalhaes, Cecilia G. aut Nicoletti, Adriana G. aut Gales, Ana C. aut Enthalten in Current treatment options in infectious diseases Philadelphia, Pa. : Current Science, 2014 6(2014), 1 vom: 17. Jan., Seite 17-39 (DE-627)355400057 (DE-600)2090725-4 1534-6250 nnns volume:6 year:2014 number:1 day:17 month:01 pages:17-39 https://dx.doi.org/10.1007/s40506-013-0006-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2014 1 17 01 17-39 |
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10.1007/s40506-013-0006-9 doi (DE-627)SPR036553514 (SPR)s40506-013-0006-9-e DE-627 ger DE-627 rakwb eng Cay, Rodrigo verfasserin aut Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2014 Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 Fehlberg, Lorena C. C. aut Carvalhaes, Cecilia G. aut Nicoletti, Adriana G. aut Gales, Ana C. aut Enthalten in Current treatment options in infectious diseases Philadelphia, Pa. : Current Science, 2014 6(2014), 1 vom: 17. Jan., Seite 17-39 (DE-627)355400057 (DE-600)2090725-4 1534-6250 nnns volume:6 year:2014 number:1 day:17 month:01 pages:17-39 https://dx.doi.org/10.1007/s40506-013-0006-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2014 1 17 01 17-39 |
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10.1007/s40506-013-0006-9 doi (DE-627)SPR036553514 (SPR)s40506-013-0006-9-e DE-627 ger DE-627 rakwb eng Cay, Rodrigo verfasserin aut Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2014 Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 Fehlberg, Lorena C. C. aut Carvalhaes, Cecilia G. aut Nicoletti, Adriana G. aut Gales, Ana C. aut Enthalten in Current treatment options in infectious diseases Philadelphia, Pa. : Current Science, 2014 6(2014), 1 vom: 17. Jan., Seite 17-39 (DE-627)355400057 (DE-600)2090725-4 1534-6250 nnns volume:6 year:2014 number:1 day:17 month:01 pages:17-39 https://dx.doi.org/10.1007/s40506-013-0006-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2014 1 17 01 17-39 |
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10.1007/s40506-013-0006-9 doi (DE-627)SPR036553514 (SPR)s40506-013-0006-9-e DE-627 ger DE-627 rakwb eng Cay, Rodrigo verfasserin aut Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2014 Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 Fehlberg, Lorena C. C. aut Carvalhaes, Cecilia G. aut Nicoletti, Adriana G. aut Gales, Ana C. aut Enthalten in Current treatment options in infectious diseases Philadelphia, Pa. : Current Science, 2014 6(2014), 1 vom: 17. Jan., Seite 17-39 (DE-627)355400057 (DE-600)2090725-4 1534-6250 nnns volume:6 year:2014 number:1 day:17 month:01 pages:17-39 https://dx.doi.org/10.1007/s40506-013-0006-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2014 1 17 01 17-39 |
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Cay, Rodrigo @@aut@@ Fehlberg, Lorena C. C. @@aut@@ Carvalhaes, Cecilia G. @@aut@@ Nicoletti, Adriana G. @@aut@@ Gales, Ana C. @@aut@@ |
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| author |
Cay, Rodrigo |
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Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control spp. (dpeaa)DE-He213 Healthcare associated infections (dpeaa)DE-He213 Gram-negative bacilli (dpeaa)DE-He213 Gram-positive cocci (dpeaa)DE-He213 |
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Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control |
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Cay, Rodrigo Fehlberg, Lorena C. C. Carvalhaes, Cecilia G. Nicoletti, Adriana G. Gales, Ana C. |
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molecular diagnosis contributing for multi-drug resistant infection control |
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Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control |
| abstract |
Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. © Springer Science+Business Media New York 2014 |
| abstractGer |
Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. © Springer Science+Business Media New York 2014 |
| abstract_unstemmed |
Opinion statement Healthcare-associated infections (HAIs) are associated with increases in mortality, morbidity, and overall cost. To guide patient care, clinicians desire accurate, rapid and cost-effective tools that enable them to effectively detect, control, and prevent HAI while managing limited resources. Without any doubts, molecular methods, especially real-time PCR, have been playing an important role in infection control strategies and the clinical management of HAIs. PCR and electrospray ionization mass spectrometry (PCR/ESI-MS) is an attractive methodology; it enables the identification and typing of microorganisms, as well as the detection of resistance and virulence genes because it combines the advantages of real-time PCR with those of mass spectrometry detection. However, this methodology will be probably surpassed by whole genome sequence (WGS), since it already has a competitive price and a relative rapid turnaround. The data assembly, annotation process, and data analysis still constitute obstacles to the wider use of WGS, as well as DNA obtainment directly from clinical specimens. The development of automated tools for analysis, compilation of WGS databases, and development of specific genetic criteria may enable a wider use of these techniques by routine clinical microbiology laboratory. © Springer Science+Business Media New York 2014 |
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Molecular Diagnosis Contributing for Multi-Drug Resistant Infection Control |
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Fehlberg, Lorena C. C. Carvalhaes, Cecilia G. Nicoletti, Adriana G. Gales, Ana C. |
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10.1007/s40506-013-0006-9 |
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2024-07-03T18:19:22.284Z |
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| score |
7.3987684 |